Basic Information

Gene Symbol
ab
Assembly
GCA_946902865.1
Location
CAMPPV010001561.1:14238-36573[+]

Transcription Factor Domain

TF Family
BTB
Domain
zf-C2H2|ZBTB
PFAM
PF00651
TF Group
Zinc-Coordinating Group
Description
The BTB (for BR-C, ttk and bab) [6] or POZ (for Pox virus and Zinc finger) [1] domain is present near the N-terminus of a fraction of zinc finger (Pfam:PF00096) proteins and in proteins that contain the Pfam:PF01344 motif such as Kelch and a family of pox virus proteins. The BTB/POZ domain mediates homomeric dimerisation and in some instances heteromeric dimerisation [1]. The structure of the dimerised PLZF BTB/POZ domain has been solved and consists of a tightly intertwined homodimer. The central scaffolding of the protein is made up of a cluster of alpha-helices flanked by short beta-sheets at both the top and bottom of the molecule [2]. POZ domains from several zinc finger proteins have been shown to mediate transcriptional repression and to interact with components of histone deacetylase co-repressor complexes including N-CoR and SMRT [5, 3, 4]. The POZ or BTB domain is also known as BR-C/Ttk or ZiN.
Hmmscan Out
# of c-Evalue i-Evalue score bias hmm coord from hmm coord to ali coord from ali coord to env coord from env coord to acc
1 7 1.2 5e+02 1.8 0.0 1 18 26 43 26 51 0.89
2 7 1.7 7e+02 1.3 0.0 4 18 66 80 63 90 0.88
3 7 0.59 2.4e+02 2.8 0.0 1 18 104 121 104 131 0.88
4 7 0.25 1e+02 4.0 0.0 1 19 145 163 145 172 0.86
5 7 1.7 7e+02 1.3 0.0 4 18 185 199 182 209 0.88
6 7 0.59 2.4e+02 2.8 0.0 1 18 223 240 223 250 0.88
7 7 2e-29 8e-27 94.5 0.0 1 100 264 359 264 364 0.95

Sequence Information

Coding Sequence
ATGGGCGGCGGAGGTCCCGGCGAGCAGCAGTACTCGCTGCGATGGAACGACTTCCATTCCGCCATGCTGTCCTCCTTCCGCCACCTGCGCGACGAGGAGGACTTAGTGGACGTGTCGCTCGCGTGCGACGGAATAGGTCCCGGGGAGCAGCAGTACTCGctgcaatggaacaacttccattccgccatgctttacctgcgcgacgaggaggacttcgtggacgtgtcgctcgcgtgcgacggAATAGGTCCCGGCGAGCAGCAGTACTCGCTGCGATGGAACGACTTCCATTCCGCCATGCTGTCCTCCTTCCGCCACCTGCGCGACGAGGAGGACTTCGTGGACGTGTCGCTCGCGTGCGACGGAATAGGTCCCGGCGAGCAGCAGTACTCGCTGCGATGGAACGACTTCCATTCCGCCATGCTGTCCTCCTTCCGCCACCTGCGCGACGAGGAGGACTTCGTGGACGTGTCGCTCGTGTGCGACGAAATAGGTCCCGGGGAGCAGCAGTACTCGctgcaatggaacaacttccattccgccatgctttacctgcgcgacgaggaggacttcgtggacgtgtcgctcgcgtgcgacggAATAGGTCCCGGCGAGCAGCAGTACTCGCTGCGATGGAACGACTTCCATTCCGCCATGCTGTCCTCCTTCCGCCACCTGCGCGACGAGGAGGACTTCGTGGACGTGTCGCTCGCGTGCGACGGAATAGGTCCCGGCGAGCAGCAGTACTCGctgcgatggaacgacttccattccgccatgctgtcctccttccgccacctgcgcgacgaggaggacttcgtggacgtgacgctcgcgtgcgacgggctcagcttcagcgcgcacaaggtcgtcctctccgcctgcagcccgtacttcaggaagctgctcaaagcgaatccctgccagcatccaatcgtcatactgcgggatatTCACAATAAGGACATGGACAGTTTACTCAGgttcatgtaccacggcgaggtgcacatagggcaggagcagttgcccgacttcctgaaggccgcacagctgctgcaggtgcgcgggctgacGGACGTGCCCACGCAGGGCGCAGGCGCGACAGCACCGCCGCTCTCCGCCCTAGACAAGATCTCACCAGCGTCGTCGTGGGCGGAGAGCGGCAGCGCCGGCTCGACGGGGGAGCGCGGGCGGGGCGAGGTGCGCGAGAGTCGCGGCGAGGCGCGCGAGGACCGGCGCGCGCGCCGCGCTGACGGCAGCTCCAGCACGCCGCCCAAGCGCGCGCGCTCGTCCGACCTTTACAACGCGCAGATGAAGTCTAGGACGGAGAAGCTGCTCGCGGCGGAGCGGAGCCCCGAGCGGGCCGGCAATAACGGCCACGACATGTCCCTCCTCAACCAGGCGCTCGAGAGTGTGCAGAGCACGCACATGTCCACCATCTCCAACAGTATGGGTGAAGGGGACGAGTCGTCATCGGACGCGGAGCAGAGCGACAACGAGATAGATCTGCCGCGGAACAGCATACCCAAGCAGGAGCCGCTCGACTACGGAGAGGACTCCAACATGATCAATGCTAACGGTGGAATATTGGACCCGTCGAGAACTCCCAACTTTCCCGGGGCGCTGCTAAATCTACAAGTCGATTCCTCCAAGTTCTTCCTCACCGTAGTGGTCTTCCAAATCGGTCCTATACATGGTTCACTGACCGACGAAGTGAGCACTGGCTTCTGCCTCGCCAATGTGGCGAGGCAGAAGTGA
Protein Sequence
MGGGGPGEQQYSLRWNDFHSAMLSSFRHLRDEEDLVDVSLACDGIGPGEQQYSLQWNNFHSAMLYLRDEEDFVDVSLACDGIGPGEQQYSLRWNDFHSAMLSSFRHLRDEEDFVDVSLACDGIGPGEQQYSLRWNDFHSAMLSSFRHLRDEEDFVDVSLVCDEIGPGEQQYSLQWNNFHSAMLYLRDEEDFVDVSLACDGIGPGEQQYSLRWNDFHSAMLSSFRHLRDEEDFVDVSLACDGIGPGEQQYSLRWNDFHSAMLSSFRHLRDEEDFVDVTLACDGLSFSAHKVVLSACSPYFRKLLKANPCQHPIVILRDIHNKDMDSLLRFMYHGEVHIGQEQLPDFLKAAQLLQVRGLTDVPTQGAGATAPPLSALDKISPASSWAESGSAGSTGERGRGEVRESRGEAREDRRARRADGSSSTPPKRARSSDLYNAQMKSRTEKLLAAERSPERAGNNGHDMSLLNQALESVQSTHMSTISNSMGEGDESSSDAEQSDNEIDLPRNSIPKQEPLDYGEDSNMINANGGILDPSRTPNFPGALLNLQVDSSKFFLTVVVFQIGPIHGSLTDEVSTGFCLANVARQK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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